When trying to solve a problem or improve a process, the optimal solution is not always found by varying just one factor at a time. By using a designed experiment approach, you can perform some carefully designed experiments under controlled conditions to identify the optimal solution. Designed experiments allow you to see how various factors interact with each other. This course will teach you how to set-up, run, and analyze two-level designed experiments.

Target Audience:

  • Design engineers
  • Quality engineers and managers
  • Product and process engineers


At least one attendee from each company should have a laptop with the trial (or full) version of Minitab loaded on it. Licensing available from InSource.


1 day


Classroom, Onsite



Learning Objectives:

  • Understand full and fractional factorials
  • How to identify which factors to vary
  • How to establish the settings for each factor
  • How to create and interpret main effects and interaction plots
  • The three R’s (Replication, Repetition and randomization) of DoE’s
  • Participants will apply the concepts taught to an actual hands-on activity to optimize a simulated process

Course Content:

  • DOE Process
  • Full Factorial Designs
  • DOE Planning
  • Replication, Repetition, Randomization
  • Main Effects and Interaction Plots
  • DOE Interpretation
  • Fractional Factorial Designs
  • Modeling Analysis for DOEs
  • Blocking Designs